Research and Application of Community Pension Service Data Analysis System Based on Data Mining Algorithm

Abstract

In recent years, with the development of China's aging population, pension issue has become a major issue related to the national economy and people's livelihood continues to be concerned. This paper aims to study the design and implementation of data analysis system of community elderly care service based on data mining algorithm. Firstly, this paper introduces the theory of data mining, and designs three modules of community pension service. Secondly, the gender, age, education level, the number of people living with the elderly and the situation of chronic diseases are used as variables for model design, and finally a community service pension system is designed in accordance with the national conditions. The experimental results of this paper show that, on the basis of data mining algorithm, the construction of community pension service system satisfies the needs of the elderly, among which, the highest reaches 91.8%, which also shows that the pension service system brings great convenience to the elderly.